Andreas Kopf is a postdoctoral researcher for computational biology in the MLO-Lab. His research interests include developing application- and collaboration-driven machine learning methods to solve real world problems in life sciences and translational medicine. In his PhD, he studied the uptake of cholesterol into liver cells, how DMF treatment affects the immune profile of multiple sclerosis patients to identify immunological biomarkers, and developed a deep probabilistic generative model for clustering and similarity-based representation learning. Before joining ETH Zürich for his doctoral studies, he studied Biomathematics at the TU Munich (M.Sc.), Mathematics at the OTH Regensburg (B.Sc.), and did an apprenticeship as technician toolmaker at Grammer AG.

  • Machine Learning (ML)
  • Deep Learning
  • Probabilistic Modeling